COCO performance

[zbf1991]

Hi, I also reproduce the pseudo labels on COCO, but the final mIoU of the pseudo labels only reaches 39.9%, which is much lower than your report in your paper, and here is my log, could you please share your log file or your final pseudo labels so that I can check what is the problem?

I directly use your code without any changes.

Here is the main result from my Log file:

result/cam_RIB_coco [0.2722552891237194, 0.2786577865531708, 0.2848951651555352, 0.29093880903208663, 0.2967588555960802, 0.3023511215664053, 0.30768588721569845, 0.3127349367603064, 0.3174742008072476, 0.3219033934796489, 0.32601260238173524, 0.3297762164192385, 0.33319474995831166, 0.3362583752094398, 0.3389686334201114, 0.3413257565050376, 0.34331515012800756, 0.3449353523677618, 0.3461883620849829, 0.34709014345965156, 0.34764327026979114, 0.34783290477587275, 0.34766379734497427, 0.34713057606322156, 0.3462663810632868, 0.3450816387680953, 0.3435831083609862, 0.3417649041730949, 0.33964585020688953, 0.33723733585199694, 0.33452463044941305, 0.3315106653971657, 0.3282249115321002, 0.3246616273393496, 0.32083791932265093, 0.3167660542320165, 0.31243464959554595, 0.30784246947610633, 0.3030084580507455, 0.2979410572954709, 0.2926588965608258] 0.34783290477587275

step.eval_sem_seg: Sun Jan 2 12:33:03 2022 total images 82783 0.07819244921909785 0.15218531542532188 0.4476158785550421 0.1573540223429845 {'iou': array([0.76962224, 0.57405399, 0.45372461, 0.42301975, 0.66804454, 0.44788392, 0.68736178, 0.43598339, 0.45119599, 0.34367053, 0.16606077, 0.51578795, 0.37524895, 0.56005069, 0.34876581, 0.35976116, 0.65993155, 0.60979095, 0.58667596, 0.51476726, 0.60375777, 0.76226191, 0.61406926, 0.75800884, 0.65777299, 0.20870498, 0.58212256, 0.12488388, 0.27468946, 0.53710008, 0.57887801, 0.09641619, 0.24943139, 0.26747072, 0.30592797, 0.14781007, 0.12192337, 0.32480459, 0.14675007, 0.17803882, 0.33367101, 0.22747043, 0.29426168, 0.08872426, 0.10570477, 0.05069256, 0.30010995, 0.59472847, 0.46239021, 0.47639645, 0.57624603, 0.39865673, 0.32390225, 0.54283463, 0.61383191, 0.57325726, 0.46447526, 0.25194392, 0.46235557, 0.30174565, 0.5464725 , 0.23060425, 0.49820743, 0.43210952, 0.5080675 , 0.19334627, 0.26914282, 0.48374467, 0.49687464, 0.43566503, 0.39545811, 0.20909918, 0.24580516, 0.41792358, 0.37384429, 0.23341467, 0.29604958, 0.23709656, 0.6229902 , 0.09117136, 0.21931909]), 'miou': 0.3996546933767093}

[jbeomlee93]

Hi @zbf1991

We are sorry that our COCO result cannot be reproduced. I'll check it out and let you know again.

But, one thing I want to check: I see that your initial seed result contains only 41 classes, but COCO contains 81 classes. Did you show me only part of them? Or did you obtain those outputs?

Thanks.

[zbf1991]

@jbeomlee93 The result of the first part is the mIoU under the different thresholds (Line 116-117 in run_sample_coco.py), which is not the result of each class. Thanks a lot!